2018
GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal effect of schizophrenia liability
Pasman JA, Verweij KJH, Gerring Z, Stringer S, Sanchez-Roige S, Treur JL, Abdellaoui A, Nivard MG, Baselmans BML, Ong JS, Ip HF, van der Zee MD, Bartels M, Day FR, Fontanillas P, Elson SL, the 23andMe Research Team, de Wit H, Davis LK, MacKillop J, The Substance Use Disorders Working Group of the Psychiatric Genomics Consortium, International Cannabis Consortium, Derringer JL, Branje SJT, Hartman CA, Heath AC, van Lier PAC, Madden PAF, Mägi R, Meeus W, Montgomery GW, Oldehinkel AJ, Pausova Z, Ramos-Quiroga JA, Paus T, Ribases M, Kaprio J, Boks MPM, Bell JT, Spector TD, Gelernter J, Boomsma DI, Martin NG, MacGregor S, Perry JRB, Palmer AA, Posthuma D, Munafò MR, Gillespie NA, Derks EM, Vink JM. GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal effect of schizophrenia liability. Nature Neuroscience 2018, 21: 1161-1170. PMID: 30150663, PMCID: PMC6386176, DOI: 10.1038/s41593-018-0206-1.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCell Adhesion MoleculesDatabases, GeneticFemaleGene Expression RegulationGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMarijuana AbuseMendelian Randomization AnalysisMental HealthMiddle AgedPolymorphism, Single NucleotideRisk-TakingSchizophreniaYoung AdultConceptsGenome-wide association studiesNew risk lociLarge genome-wide association studiesGene-based testsIndependent single nucleotide polymorphismsDifferent expression levelsSignificant genetic correlationsHealth-related traitsSingle nucleotide polymorphismsEtiology of cannabisHeritable traitRisk lociSignificant genesAssociation studiesGenetic correlationsPsychiatric traitsGenetic variantsNucleotide polymorphismsGenetic overlapExpression levelsTraitsGenesNew insightsSchizophrenia riskMendelian randomization analysis
2014
GPA: A Statistical Approach to Prioritizing GWAS Results by Integrating Pleiotropy and Annotation
Chung D, Yang C, Li C, Gelernter J, Zhao H. GPA: A Statistical Approach to Prioritizing GWAS Results by Integrating Pleiotropy and Annotation. PLOS Genetics 2014, 10: e1004787. PMID: 25393678, PMCID: PMC4230845, DOI: 10.1371/journal.pgen.1004787.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesFunctional annotationGWAS datasetsAnnotation informationStatistical approachMultiple GWAS datasetsGenome-wide markersPowerful statistical methodsSingle-phenotype analysisCentral nervous system genesRisk variantsNervous system genesGenotype-Tissue Expression (GTEx) databaseComplex diseasesGWAS data setsSignificant pleiotropic effectsCommon risk basisDifferent complex diseasesDNase-seq dataCell linesStatistical inferenceGenetic architectureGWAS hitsGWAS resultsNovel statistical approachGenome-Wide Association Study of Nicotine Dependence in American Populations: Identification of Novel Risk Loci in Both African-Americans and European-Americans
Gelernter J, Kranzler HR, Sherva R, Almasy L, Herman AI, Koesterer R, Zhao H, Farrer LA. Genome-Wide Association Study of Nicotine Dependence in American Populations: Identification of Novel Risk Loci in Both African-Americans and European-Americans. Biological Psychiatry 2014, 77: 493-503. PMID: 25555482, PMCID: PMC4386684, DOI: 10.1016/j.biopsych.2014.08.025.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesGWS associationsRisk lociAssociation studiesNicotinic receptor gene clusterPrevious genome-wide association studyNovel risk lociAdenosine monophosphate-activated protein kinase (AMPK) pathwayReceptor gene clusterProtein kinase pathwayChromosome 8 regionGWAS analysisGene clusterIntergenic regionNumerous SNPsQuantity traitsKinase pathwayPathway analysisChromosome 14Base pairsNovel insightsStudy of AddictionOrdinal traitsLociTraits
2013
Genome-Wide Association Study of Opioid Dependence: Multiple Associations Mapped to Calcium and Potassium Pathways
Gelernter J, Kranzler HR, Sherva R, Koesterer R, Almasy L, Zhao H, Farrer LA. Genome-Wide Association Study of Opioid Dependence: Multiple Associations Mapped to Calcium and Potassium Pathways. Biological Psychiatry 2013, 76: 66-74. PMID: 24143882, PMCID: PMC3992201, DOI: 10.1016/j.biopsych.2013.08.034.Peer-Reviewed Original ResearchMeSH KeywordsAllelesBlack or African AmericanCalcium ChannelsCalcium SignalingDatabases, GeneticGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansLong-Term PotentiationOpioid-Related DisordersPolymorphism, Single NucleotidePotassiumPotassium Channels, Voltage-GatedSignal TransductionWhite PeopleConceptsGenome-wide association studiesSingle nucleotide polymorphismsAssociation studiesSignificant single nucleotide polymorphismsGenomes reference panelGWAS dataMultiple lociPathway analysisCalcium signalingRisk variantsGenesNucleotide polymorphismsPotassium pathwaysSimilar pathwaysReference panelAdditional genotypesPathwayMost significant resultsMultiple associationsLong-term potentiationLociGeneticsSignalingRisk pathwaysMicroarray
2012
Linkage Analysis Followed by Association Show NRG1 Associated with Cannabis Dependence in African Americans
Han S, Yang BZ, Kranzler HR, Oslin D, Anton R, Farrer LA, Gelernter J. Linkage Analysis Followed by Association Show NRG1 Associated with Cannabis Dependence in African Americans. Biological Psychiatry 2012, 72: 637-644. PMID: 22520967, PMCID: PMC3699339, DOI: 10.1016/j.biopsych.2012.02.038.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphismsSusceptibility genesLinkage peakGenome-wide linkage scanAssociation analysisGenome-wide association studiesStudy of AddictionStrong linkage evidenceChromosome 8p21.1AA sampleLinkage scanLocal ancestryAssociation studiesGenetic studiesLinkage analysisReplicated associationsLinkage evidenceGenetic variantsGenesNucleotide polymorphismsGenetic contributionGeneticsNRG1Environment samplesReplication study